【DQ】Data Quest

Competition Overview:
A competition that tests skills for extracting socially valuable insights from big data using knowledge of information science and statistics.
余白(20px)
Take on the presented challenge and predict population decline. Try analyzing using statistical causal inference and EBPM (Evidence-Based Policy Making) methods. We will explain the content of the challenge within the group training session, along with setting up the Python development environment. Though these are very difficult problems typically tackled by university students and above, we can now address them thanks to the ChatGPT era.

Event Timeline (UTC)

  • Competition Overview Release: April 8 (Tue)
  • Application Period: April 8 (Tue),12:00 - May 7 (Wed), 12:00
  • Preparatory Learning Period: April 8 (Tue) - May 9 (Fri)
  • Qualifying competition (Selection Competition): May 10 (Sat) - May 11 (Sun)
  • Training Period: May 13 (Tue) – July 18 (Fri)
  • Regional Qualifiers: July 19 (Sat) – July 20 (Sun)
  • Final Championship: July 31 (Thu) - August 1 (Fri)

Qualifying competition

You will complete preparatory learning through learningBOX. Try taking the Qualifying competition exam!

Competition format: Computer Based Testing (CBT)
Dates: Saturday, May 10 (Sat) - May 11 (Sun) (UTC)
Schedule on the day: To be determined
Results announcement: After the qualifying competition

Regional Qualifiers

Competition format: To be determined
Dates: July 19 (Sat) - July 20 (Sun) (UTC)
Schedule on the day: To be determined
Results announcement: After the regional preliminaries of the world championship

Final Championship

Competition format: To be determined
Dates: Thursday, July 31 - Friday, August 1
Schedule on the day: To be determined
Results announcement: After the final championship

How to Participate